Zheng Zhao

Research Scientist at Meta

United Kingdom
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Summary

👤
Senior
🎓
Top School
Zheng Zhao is a Research Scientist and PhD candidate in Natural Language Processing at the University of Edinburgh with nine years of experience building and applying ML systems. He has transitioned from academic research to industry roles at Amazon focusing on Alexa personalization and NLU, and now works on core learning and reasoning at Meta FAIR. Zheng combines deep theoretical grounding—MSc by research with distinction and ongoing PhD—with hands-on applied science experience shipping personalization and language models in production settings. His background spans interdisciplinary roles from university research assistantships to a stint in finance at Goldman Sachs, reflecting an ability to translate complex problems across domains. Colleagues describe him as someone who bridges rigorous research with product-driven engineering, often surfacing pragmatic solutions informed by state-of-the-art ML. Based in the UK, he continues to push on fundamental AI research while maintaining a strong track record of deploying applied NLP systems.
code9 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy - PhD, Natural Language Processing, Doctor of Philosophy - PhD, Natural Language Processing at The University of Edinburgh
languagesChinese, English, Spanish
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Github Skills (24)

expressions9
python9
machine-learning9
gpu9
theano9
unsupervised-learning9
roberta9
nlp8
mathematical-expressions8
deep-learning8
pymc8
mathematical8
summarization8
pytorch8
data-science7

Programming languages (1)

Python

Github contributions (5)

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mswellhao/chineseNER

Jul 2016 - Jun 2018

Contributions:10 commits, 8 pushes, 1 branch in 1 year 11 months
mswellhao/PacSum

May 2019 - Sep 2021

Unsupervised Extractive Summarization based on Position-Augmented Centrality
Contributions:7 commits, 1 PR, 6 pushes in 2 years 3 months
nlppositionunsupervised-learningcentralityunsupervised
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Zheng Zhao - Research Scientist at Meta